How to deploy scikit-learn machine learning models in the Cloud

Developing and experimenting with machine learning models in Python is easy and well supported by robust and agile libraries such as scikit-learn, although efficiently deploying multi-model systems at scale is still a challenge in the data science field.

This talk will focus on the main issues related to deploying machine learning models and how to make scikit-learn production-ready with minimal operational efforts, by means of Cloud Computing services, in particular Amazon Web Services.

Prerequisites: basic Machine Learning understanding (modeling and training), minimal knowledge about scikit-learn and Python utilities such as Pandas and boto.